Need help with fvcore?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

635 Stars 100 Forks Apache License 2.0 141 Commits 6 Opened issues


Collection of common code that's shared among different research projects in FAIR computer vision team.

Services available


Need anything else?

Contributors list


fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks developed in FAIR, such as Detectron2. This library is based on Python 3.6+ and PyTorch. All the components in this library are type-annotated, tested, and benchmarked.

The computer vision team in FAIR is responsible for maintaining this library.


fvcore requires python >= 3.6.

Use one of the following ways to install:

1. Install from PyPI (updated nightly)

pip install -U fvcore

2. Install from Anaconda Cloud (updated nightly)

conda install -c conda-forge -c iopath -c fvcore fvcore

3. Install latest from GitHub

pip install -U 'git+'

4. Install from a local clone

git clone
pip install -e fvcore


This library is released under the Apache 2.0 license.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.